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Module « pandas »

Fonction bdate_range - module pandas

Signature de la fonction bdate_range

def bdate_range(start=None, end=None, periods: 'int | None' = None, freq: 'Frequency | dt.timedelta' = 'B', tz=None, normalize: 'bool' = True, name: 'Hashable | None' = None, weekmask=None, holidays=None, inclusive: 'IntervalClosedType' = 'both', **kwargs) -> 'DatetimeIndex' 

Description

help(pandas.bdate_range)

Return a fixed frequency DatetimeIndex with business day as the default.

Parameters
----------
start : str or datetime-like, default None
    Left bound for generating dates.
end : str or datetime-like, default None
    Right bound for generating dates.
periods : int, default None
    Number of periods to generate.
freq : str, Timedelta, datetime.timedelta, or DateOffset, default 'B'
    Frequency strings can have multiples, e.g. '5h'. The default is
    business daily ('B').
tz : str or None
    Time zone name for returning localized DatetimeIndex, for example
    Asia/Beijing.
normalize : bool, default False
    Normalize start/end dates to midnight before generating date range.
name : str, default None
    Name of the resulting DatetimeIndex.
weekmask : str or None, default None
    Weekmask of valid business days, passed to ``numpy.busdaycalendar``,
    only used when custom frequency strings are passed.  The default
    value None is equivalent to 'Mon Tue Wed Thu Fri'.
holidays : list-like or None, default None
    Dates to exclude from the set of valid business days, passed to
    ``numpy.busdaycalendar``, only used when custom frequency strings
    are passed.
inclusive : {"both", "neither", "left", "right"}, default "both"
    Include boundaries; Whether to set each bound as closed or open.

    .. versionadded:: 1.4.0
**kwargs
    For compatibility. Has no effect on the result.

Returns
-------
DatetimeIndex

Notes
-----
Of the four parameters: ``start``, ``end``, ``periods``, and ``freq``,
exactly three must be specified.  Specifying ``freq`` is a requirement
for ``bdate_range``.  Use ``date_range`` if specifying ``freq`` is not
desired.

To learn more about the frequency strings, please see `this link
<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.

Examples
--------
Note how the two weekend days are skipped in the result.

>>> pd.bdate_range(start='1/1/2018', end='1/08/2018')
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',
           '2018-01-05', '2018-01-08'],
          dtype='datetime64[ns]', freq='B')

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